A Study On The Subjective And Objective Influences And Induction Strategies Of The Built Environment On Public Transportation Travel Choices

The built environment is widely believed to have an impact on residents’ preferences for public transportation due to the basic space and facilities it provides for daily activities.Previous studies have focused on the correlation between the built environment and travel behavior and have drawn some widely accepted conclusions,such as higher building density,mixed land use,and greater accessibility to public transportation generally representing a higher proportion of green travel.However,urban managers are concerned not only with the correlation between the built environment and travel behavior,but also with the causal relationship between the two and the psychological decision-making process behind travel behavior.They hope to guide changes in residents’ travel behavior through optimizing the built environment.Therefore,urban management departments need to explore how to connect the elements of the built environment,psychological perception processes,and public transportation travel behavior to guide green travel behavior through feedback by optimizing the built environment.This study takes the residents of Zhengzhou City,Henan Province,China as an empirical case,and collects a valid sample size of 399 to analyze the factors influencing the travel behavior of the residents of Zhengzhou City in detail.The data were collected using Arc GIS spatial analysis to quantitatively extract the vector data of Zhengzhou city to quantify the locational environmental characteristics around the investigators;convolutional neural network algorithm was used to quantitatively extract the streetscape data of Zhengzhou city to quantify the environmental quality characteristics around the investigators;questionnaires were used to collect the results of people’s travel behavior decisions and the perceived gist.Prior to the behavioral decision analysis,the study needed to verify the "environmentperception" influence mechanism.In addition to the perceptual indicators such as walkability of public transportation,distance to subway stations,functional mix,road connectivity,and distance to city center,street quality factors such as greenery and enclosure were also considered.A multi-scale geographically weighted regression model was used to establish the "environment-perception" influence path,which confirmed that there are different degrees of spatial variability in the built environment affecting people’s subjective perceptions.After verifying the "environment-perception" mechanism,the study used the "planned behavior theory" and "stimulus-response theory" to verify the "environment-psychologybehavior" impact path through structural equation modeling.A multi-scale geographically weighted regression model was also used to explore the interaction of subjective and objective factors on travel behavior and verify the significant spatial differentiation of travel behavior influencing factors.Finally,the study proposed travel behavior induction strategies based on the behavior verification results.Based on the verification results of subject-object interaction on public transportation travel behavior and the spatial heterogeneity of the influencing factors,the study explores how to guide people’s travel behavior by choosing public transportation based on the characteristics of the built environment within Zhengzhou city,the environmental assessment results of Zhengzhou’s rail transit stations,and the current situation of the relationship between the facilities of Zhengzhou’s bus stations.The purpose of guiding people to low-carbon travel and green travel is proposed by optimizing the built environment around the rail transit stations and bus stations.The study results further reveal the mechanism of public transportation travel behavior,establish a complete feedback mechanism for guiding travel behavior changes through optimizing the built environment,and provide a reference and basis for management departments to formulate management policies and conduct urban renewal.